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/low-frequency electromagnetic systems. Good publication record in relevant research areas. Proficiency in MATLAB, Python, C/C++, or equivalent tools for simulation, data analysis, and automation. Good
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polariton propagation, low-energy switching concepts, few-particle modulation of condensate nonlinearities, integrated polaritonic circuit functions, and coupling of polaritonic states to on-chip detection
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international settings, including low-income contexts. Working closely with the team, you will support the design, implementation and evaluation of family-centred interventions that improve equity, quality and
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economics, flexibility coordination, energy storage, integrated energy systems, and AI-enabled decision-making for low-carbon transitions. His research develops analytical, computational, optimisation
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on developing the low-dimensional nanophotonics, focusing on the near-field, nonlinear and quantum optical properties of emerging low-dimensional materials. The researcher will work on a project focused on the
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Responsibilities: As an integral part of the project, the Research Fellow is expected to conduct research in low-photon regime LiDAR; integrate light sources, trigger/reference detection, time-tagging
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. Their primary responsibility will be to pursue an original research project of their own design. We seek fellows whose field research sites will be in low-income settings of the Global South. Fellows will be
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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/aca/trondvh/index.html Project description This project aims to develop low-molecular-weight resolution promoters targeting GPR101 as potential therapies for rheumatoid arthritis. Computational
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sustainable solutions. For more details, please view https://www.ntu.edu.sg/mesd-coe . We are looking for a Research Fellow to conduct research and development projects in low-carbon shipping and ports